Data Scientist-3

At Cashfree Payments, we’re not just shaping the future of payments—we’re moving fast to scale businesses at every stage, with deep expertise in powering India’s D2C and e-commerce growth.

Founded in 2015, we process transactions worth $80B annually and are trusted by more than 800,000 businesses. Authorised by the Reserve Bank of India, we are one of the first entities to receive critical licences like PA-PG, PA-CB and PPI in the sector. We enable seamless collections, payouts, identity verification, and fraud detection.

We are backed by Silicon Valley investor Y Combinator, Apis Partners, Krafton Inc, State Bank of India (SBI), and were incubated by PayPal.

About the Role: Data Scientist – 3

As a Data Scientist – 3, you will

• Partner with stakeholders to define, own, and execute the data science roadmap for one or more business domains, building impactful solutions from the ground up
• Design, develop, and deploy scalable machine learning models into production environments
• Provide strong technical and scientific leadership, mentoring team members and driving best practices
• Take a hands-on approach to solving complex data problems when required
• Collaborate closely with crossfunctional teams across product, business, and engineering to deliver data-driven solutions
• Establish, standardize, and continuously improve data science and engineering practices within the team
• Balance business delivery with innovation by contributing to applied research and experimentation

Profile

• Deep understanding of modern machine learning techniques and their mathematical foundations
• 5+ years of experience applying machine learning and statistical methods to solve complex, large-scale business problems
• Strong expertise in model evaluation techniques and the ability to align model performance with business objectives
• Experience working with scalable and distributed systems
• Proven ability to translate business problems into data science solutions

Good to Have

• Experience with cloud platforms such as AWS OR PySpark or other distributed data processing frameworks